ReviewJournal of clinical laboratory analysis2022
Recent advances in methods for the diagnosis of Corona Virus Disease 2019.
Review in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 30 citations in OpenAlex.
- Peptide Probe-Based NanoLC-MS/MS PRM for Ultrasensitive Detection of SARS-CoV-2 Proteins in Environmental Samples.Infectious diseases & clinical microbiology · 2026Article
- Development of a general anti-viral therapeutic using cholestosome technology to exploit inhibition of intracellular viral production.Biochemistry and biophysics reports · 2025Article
- Epidemiological and etiological characteristics of 1266 patients with severe acute respiratory infection in central China, 2018-2020: a retrospective survey.BMC infectious diseases · 2024Article
- Investigating the diagnostic and prognostic value of anti-SARS-CoV-2 Spike IgG/IgM ELISA tests in patients infected with coronavirus Delta variant.Le infezioni in medicina · 2024Article
- Diagnostic Efficacy of Chest Computed Tomography with a Dual-Reviewer Approach in Patients Diagnosed with Pneumonia Secondary to Severe Acute Respiratory Syndrome Coronavirus 2.Tomography (Ann Arbor, Mich.) · 2023Observational
- Advances in Simple, Rapid, and Contamination-Free Instantaneous Nucleic Acid Devices for Pathogen Detection.Biosensors · 2023Review
- YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images.Diagnostics (Basel, Switzerland) · 2023Article
- Research progress in preparation, properties, and applications of medical protective fiber materials.Applied materials today · 2023Review
- A Systematic Review and Meta-Analysis Comparing the Diagnostic Accuracy Tests of COVID-19.Diagnostics (Basel, Switzerland) · 2023Review
- Rapid Onsite Visual Detection of Orf Virus Using a Recombinase-Aided Amplification Assay.Life (Basel, Switzerland) · 2023Article
- Recent Developments in Nanotechnology-Based Biosensors for the Diagnosis of Coronavirus.Plasmonics (Norwell, Mass.) · 2023Review
- A novel triplex real-time PCR assay for the differentiation of lumpy skin disease virus, goatpox virus, and sheeppox virus.Frontiers in veterinary science · 2023Article
- [Molecular biology in a blood bank].Revista medica del Instituto Mexicano del Seguro Social · 2023Review
- [PCR for COVID in the transplant protocol].Revista medica del Instituto Mexicano del Seguro Social · 2023Observational
- Importance of external quality assessment for SARS-CoV-2 antigen detection during the COVID-19 pandemic.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022Article
- Tracking the Initial Diffusion of SARS-CoV-2 Omicron Variant in Italy by RT-PCR and Comparison with Alpha and Delta Variants Spreading.Diagnostics (Basel, Switzerland) · 2022Article
- Pathophysiological Response to SARS-CoV-2 Infection Detected by Infrared Spectroscopy Enables Rapid and Robust Saliva Screening for COVID-19.Biomedicines · 2022Article
- Visual Detection of COVID-19 from Materials Aspect.Advanced fiber materials · 2022Review
- Recent advances in methods for the diagnosis of Corona Virus Disease 2019.Journal of clinical laboratory analysis · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Since the beginning of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic, it has been clear that effective methods for the diagnosis of Corona Virus Disease 2019 (COVID-19) are the key tools to control its epidemic. The current gold standard for diagnosing COVID-19 is the real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR), which is a sensitive and specific method to detect SARS-CoV-2. Other RNA-based methods include RNA sequencing (RNA-seq), droplet digital reverse transcription-polymerase chain reaction (ddRT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), and clustered regularly interspaced short palindromic repeats (CRISPR). The serological testing of antibodies (IgM and IgG), nanoparticle-based lateral-flow assay, and enzyme-linked immunosorbent assay (ELISA) can be used to enhance the detection sensitivity and accuracy. Because antibodies are usually detected a week after the onset of symptoms, these tests are used to assess the overall infection rate in the community. Sine the fact that healthcare varies from country to country across the world, different types of diagnosing COVID-19 imaging technologies including chest computed tomography (CT), chest radiography, and lung ultrasound are used in different degrees. Besides, the pooling test is an important public health tool to reduce cost and increase testing capacity in low-risk area, while artificial intelligence (AI) may aid to increase the diagnostic efficiency of imaging-based methods. Finally, depending on the type of samples and stages of the disease, a combination of information on patient demographics and histories, clinical symptoms, results of molecular and serological diagnostic tests, and imaging information is highly recommended to achieve adequate diagnosis of patients with COVID-19.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.